Overview

Dataset statistics

Number of variables22
Number of observations21597
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 MiB
Average record size in memory176.0 B

Variable types

NUM20
CAT1
BOOL1

Reproduction

Analysis started2020-08-06 12:47:21.638096
Analysis finished2020-08-06 12:48:11.059774
Duration49.42 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

date has a high cardinality: 372 distinct values High cardinality
Unnamed: 0 has unique values Unique
view has 19485 (90.2%) zeros Zeros
sqft_basement has 13280 (61.5%) zeros Zeros
yr_renovated has 20853 (96.6%) zeros Zeros

Variables

Unnamed: 0
Real number (ℝ≥0)

UNIQUE

Distinct count21597
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10798.0
Minimum0
Maximum21596
Zeros1
Zeros (%)< 0.1%
Memory size168.7 KiB
2020-08-06T07:48:11.143549image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1079.8
Q15399
median10798
Q316197
95-th percentile20516.2
Maximum21596
Range21596
Interquartile range (IQR)10798

Descriptive statistics

Standard deviation6234.661218
Coefficient of variation (CV)0.5773903702
Kurtosis-1.2
Mean10798
Median Absolute Deviation (MAD)5399
Skewness0
Sum233204406
Variance38871000.5
2020-08-06T07:48:11.232344image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
20471< 0.1%
 
108961< 0.1%
 
129311< 0.1%
 
26921< 0.1%
 
6451< 0.1%
 
67901< 0.1%
 
47431< 0.1%
 
190841< 0.1%
 
170371< 0.1%
 
211351< 0.1%
 
Other values (21587)21587> 99.9%
 
ValueCountFrequency (%) 
01< 0.1%
 
11< 0.1%
 
21< 0.1%
 
31< 0.1%
 
41< 0.1%
 
ValueCountFrequency (%) 
215961< 0.1%
 
215951< 0.1%
 
215941< 0.1%
 
215931< 0.1%
 
215921< 0.1%
 

id
Real number (ℝ≥0)

Distinct count21420
Unique (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4580474287.770987
Minimum1000102
Maximum9900000190
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T07:48:11.331048image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1000102
5-th percentile512740390
Q12123049175
median3904930410
Q37308900490
95-th percentile9297300412
Maximum9900000190
Range9899000088
Interquartile range (IQR)5185851315

Descriptive statistics

Standard deviation2876735716
Coefficient of variation (CV)0.6280431971
Kurtosis-1.260749894
Mean4580474288
Median Absolute Deviation (MAD)2402530270
Skewness0.243225522
Sum9.892450319e+13
Variance8.275608378e+18
2020-08-06T07:48:11.416819image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
7950006203< 0.1%
 
18250690312< 0.1%
 
20192002202< 0.1%
 
71293045402< 0.1%
 
17815004352< 0.1%
 
39693000302< 0.1%
 
25608012222< 0.1%
 
38838000112< 0.1%
 
22289002702< 0.1%
 
2513001102< 0.1%
 
Other values (21410)2157699.9%
 
ValueCountFrequency (%) 
10001022< 0.1%
 
12000191< 0.1%
 
12000211< 0.1%
 
28000311< 0.1%
 
36000571< 0.1%
 
ValueCountFrequency (%) 
99000001901< 0.1%
 
98950000401< 0.1%
 
98423005401< 0.1%
 
98423004851< 0.1%
 
98423000951< 0.1%
 

date
Categorical

HIGH CARDINALITY

Distinct count372
Unique (%)1.7%
Missing0
Missing (%)0.0%
Memory size168.7 KiB
2014-06-23
 
142
2014-06-25
 
131
2014-06-26
 
131
2014-07-08
 
127
2015-04-27
 
126
Other values (367)
20940
ValueCountFrequency (%) 
2014-06-231420.7%
 
2014-06-251310.6%
 
2014-06-261310.6%
 
2014-07-081270.6%
 
2015-04-271260.6%
 
2015-03-251230.6%
 
2015-04-281210.6%
 
2015-04-221210.6%
 
2015-04-141210.6%
 
2014-07-091210.6%
 
Other values (362)2033394.1%
 
2020-08-06T07:48:11.612330image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

price
Real number (ℝ≥0)

Distinct count3622
Unique (%)16.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean540296.5735055795
Minimum78000.0
Maximum7700000.0
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T07:48:11.708072image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum78000
5-th percentile210000
Q1322000
median450000
Q3645000
95-th percentile1160000
Maximum7700000
Range7622000
Interquartile range (IQR)323000

Descriptive statistics

Standard deviation367368.1401
Coefficient of variation (CV)0.6799379417
Kurtosis34.54135858
Mean540296.5735
Median Absolute Deviation (MAD)150000
Skewness4.023364652
Sum1.16687851e+10
Variance1.349593504e+11
2020-08-06T07:48:11.805816image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
3500001720.8%
 
4500001720.8%
 
5500001590.7%
 
5000001520.7%
 
4250001500.7%
 
3250001480.7%
 
4000001450.7%
 
3750001380.6%
 
3000001330.6%
 
5250001310.6%
 
Other values (3612)2009793.1%
 
ValueCountFrequency (%) 
780001< 0.1%
 
800001< 0.1%
 
810001< 0.1%
 
820001< 0.1%
 
825001< 0.1%
 
ValueCountFrequency (%) 
77000001< 0.1%
 
70600001< 0.1%
 
68900001< 0.1%
 
55700001< 0.1%
 
53500001< 0.1%
 

bedrooms
Real number (ℝ≥0)

Distinct count11
Unique (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.37181089966199
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T07:48:11.900564image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum11
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9040963372
Coefficient of variation (CV)0.2681337608
Kurtosis1.797672657
Mean3.3718109
Median Absolute Deviation (MAD)1
Skewness0.5514421015
Sum72821
Variance0.8173901869
2020-08-06T07:48:11.975366image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
3982545.5%
 
4688231.9%
 
2276012.8%
 
516017.4%
 
62721.3%
 
11960.9%
 
7380.2%
 
8130.1%
 
96< 0.1%
 
103< 0.1%
 
ValueCountFrequency (%) 
11960.9%
 
2276012.8%
 
3982545.5%
 
4688231.9%
 
516017.4%
 
ValueCountFrequency (%) 
111< 0.1%
 
103< 0.1%
 
96< 0.1%
 
8130.1%
 
7380.2%
 

bathrooms
Real number (ℝ≥0)

Distinct count29
Unique (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1158262721674306
Minimum0.5
Maximum8.0
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T07:48:12.056142image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile1
Q11.75
median2.25
Q32.5
95-th percentile3.5
Maximum8
Range7.5
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation0.7689842967
Coefficient of variation (CV)0.3634439683
Kurtosis1.279315294
Mean2.115826272
Median Absolute Deviation (MAD)0.5
Skewness0.5197092816
Sum45695.5
Variance0.5913368485
2020-08-06T07:48:12.137900image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2.5537724.9%
 
1385117.8%
 
1.75304814.1%
 
2.2520479.5%
 
219308.9%
 
1.514456.7%
 
2.7511855.5%
 
37533.5%
 
3.57313.4%
 
3.255892.7%
 
Other values (19)6413.0%
 
ValueCountFrequency (%) 
0.54< 0.1%
 
0.75710.3%
 
1385117.8%
 
1.259< 0.1%
 
1.514456.7%
 
ValueCountFrequency (%) 
82< 0.1%
 
7.751< 0.1%
 
7.51< 0.1%
 
6.752< 0.1%
 
6.52< 0.1%
 

sqft_living
Real number (ℝ≥0)

Distinct count1034
Unique (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2080.3218502569803
Minimum370
Maximum13540
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T07:48:12.237627image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum370
5-th percentile940
Q11430
median1910
Q32550
95-th percentile3760
Maximum13540
Range13170
Interquartile range (IQR)1120

Descriptive statistics

Standard deviation918.1061251
Coefficient of variation (CV)0.4413288862
Kurtosis5.252101951
Mean2080.32185
Median Absolute Deviation (MAD)540
Skewness1.473215455
Sum44928711
Variance842918.8569
2020-08-06T07:48:12.325391image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
13001380.6%
 
14001350.6%
 
14401330.6%
 
16601290.6%
 
10101290.6%
 
18001290.6%
 
18201280.6%
 
14801250.6%
 
17201250.6%
 
15401240.6%
 
Other values (1024)2030294.0%
 
ValueCountFrequency (%) 
3701< 0.1%
 
3801< 0.1%
 
3901< 0.1%
 
4101< 0.1%
 
4202< 0.1%
 
ValueCountFrequency (%) 
135401< 0.1%
 
120501< 0.1%
 
100401< 0.1%
 
98901< 0.1%
 
96401< 0.1%
 

sqft_lot
Real number (ℝ≥0)

Distinct count9776
Unique (%)45.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15099.408760475992
Minimum520
Maximum1651359
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T07:48:12.422172image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum520
5-th percentile1800.8
Q15040
median7618
Q310685
95-th percentile43307.2
Maximum1651359
Range1650839
Interquartile range (IQR)5645

Descriptive statistics

Standard deviation41412.63688
Coefficient of variation (CV)2.742666122
Kurtosis285.4958119
Mean15099.40876
Median Absolute Deviation (MAD)2618
Skewness13.07260357
Sum326101931
Variance1715006493
2020-08-06T07:48:12.519885image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
50003581.7%
 
60002901.3%
 
40002511.2%
 
72002201.0%
 
75001190.6%
 
48001190.6%
 
45001140.5%
 
84001110.5%
 
96001090.5%
 
36001030.5%
 
Other values (9766)1980391.7%
 
ValueCountFrequency (%) 
5201< 0.1%
 
5721< 0.1%
 
6001< 0.1%
 
6091< 0.1%
 
6351< 0.1%
 
ValueCountFrequency (%) 
16513591< 0.1%
 
11647941< 0.1%
 
10742181< 0.1%
 
10240681< 0.1%
 
9829981< 0.1%
 

floors
Real number (ℝ≥0)

Distinct count6
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4940964022780943
Minimum1.0
Maximum3.5
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T07:48:12.614655image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q32
95-th percentile2
Maximum3.5
Range2.5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.539682791
Coefficient of variation (CV)0.3612101536
Kurtosis-0.4910657592
Mean1.494096402
Median Absolute Deviation (MAD)0.5
Skewness0.6144969756
Sum32268
Variance0.2912575149
2020-08-06T07:48:12.693442image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
11067349.4%
 
2823538.1%
 
1.519108.8%
 
36112.8%
 
2.51610.7%
 
3.57< 0.1%
 
ValueCountFrequency (%) 
11067349.4%
 
1.519108.8%
 
2823538.1%
 
2.51610.7%
 
36112.8%
 
ValueCountFrequency (%) 
3.57< 0.1%
 
36112.8%
 
2.51610.7%
 
2823538.1%
 
1.519108.8%
 

waterfront
Boolean

Distinct count2
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size168.7 KiB
0
21451
1
 
146
ValueCountFrequency (%) 
02145199.3%
 
11460.7%
 

view
Real number (ℝ≥0)

ZEROS

Distinct count5
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.23318053433347224
Minimum0.0
Maximum4.0
Zeros19485
Zeros (%)90.2%
Memory size168.7 KiB
2020-08-06T07:48:12.777215image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7646725796
Coefficient of variation (CV)3.279315667
Kurtosis10.96501012
Mean0.2331805343
Median Absolute Deviation (MAD)0
Skewness3.405698095
Sum5036
Variance0.584724154
2020-08-06T07:48:12.863985image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
01948590.2%
 
29574.4%
 
35082.4%
 
13301.5%
 
43171.5%
 
ValueCountFrequency (%) 
01948590.2%
 
13301.5%
 
29574.4%
 
35082.4%
 
43171.5%
 
ValueCountFrequency (%) 
43171.5%
 
35082.4%
 
29574.4%
 
13301.5%
 
01948590.2%
 

condition
Real number (ℝ≥0)

Distinct count5
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4098254387183404
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T07:48:12.958698image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6505456357
Coefficient of variation (CV)0.1907856127
Kurtosis0.5192374924
Mean3.409825439
Median Absolute Deviation (MAD)0
Skewness1.036037425
Sum73642
Variance0.4232096241
2020-08-06T07:48:13.062421image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
31402064.9%
 
4567726.3%
 
517017.9%
 
21700.8%
 
1290.1%
 
ValueCountFrequency (%) 
1290.1%
 
21700.8%
 
31402064.9%
 
4567726.3%
 
517017.9%
 
ValueCountFrequency (%) 
517017.9%
 
4567726.3%
 
31402064.9%
 
21700.8%
 
1290.1%
 

grade
Real number (ℝ≥0)

Distinct count11
Unique (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.657915451220076
Minimum3
Maximum13
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T07:48:13.185102image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6
Q17
median7
Q38
95-th percentile10
Maximum13
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.173199664
Coefficient of variation (CV)0.1532009163
Kurtosis1.135148022
Mean7.657915451
Median Absolute Deviation (MAD)1
Skewness0.7882366364
Sum165388
Variance1.376397451
2020-08-06T07:48:13.280871image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
7897441.6%
 
8606528.1%
 
9261512.1%
 
620389.4%
 
1011345.3%
 
113991.8%
 
52421.1%
 
12890.4%
 
4270.1%
 
13130.1%
 
ValueCountFrequency (%) 
31< 0.1%
 
4270.1%
 
52421.1%
 
620389.4%
 
7897441.6%
 
ValueCountFrequency (%) 
13130.1%
 
12890.4%
 
113991.8%
 
1011345.3%
 
9261512.1%
 

sqft_above
Real number (ℝ≥0)

Distinct count942
Unique (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1788.5968421540028
Minimum370
Maximum9410
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T07:48:13.357663image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum370
5-th percentile850
Q11190
median1560
Q32210
95-th percentile3400
Maximum9410
Range9040
Interquartile range (IQR)1020

Descriptive statistics

Standard deviation827.7597612
Coefficient of variation (CV)0.4627984024
Kurtosis3.405519761
Mean1788.596842
Median Absolute Deviation (MAD)450
Skewness1.447434235
Sum38628326
Variance685186.2222
2020-08-06T07:48:13.436421image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
13002121.0%
 
10102101.0%
 
12002061.0%
 
12201920.9%
 
11401840.9%
 
14001800.8%
 
10601780.8%
 
11801770.8%
 
13401760.8%
 
12501740.8%
 
Other values (932)1970891.3%
 
ValueCountFrequency (%) 
3701< 0.1%
 
3801< 0.1%
 
3901< 0.1%
 
4101< 0.1%
 
4202< 0.1%
 
ValueCountFrequency (%) 
94101< 0.1%
 
88601< 0.1%
 
85701< 0.1%
 
80201< 0.1%
 
78801< 0.1%
 

sqft_basement
Real number (ℝ≥0)

ZEROS

Distinct count303
Unique (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean285.7165810066213
Minimum0.0
Maximum4820.0
Zeros13280
Zeros (%)61.5%
Memory size168.7 KiB
2020-08-06T07:48:13.537154image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3550
95-th percentile1180
Maximum4820
Range4820
Interquartile range (IQR)550

Descriptive statistics

Standard deviation439.8198296
Coefficient of variation (CV)1.539357037
Kurtosis2.813629099
Mean285.716581
Median Absolute Deviation (MAD)0
Skewness1.605271835
Sum6170621
Variance193441.4825
2020-08-06T07:48:13.634911image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
01328061.5%
 
6002171.0%
 
5002091.0%
 
7002081.0%
 
8002010.9%
 
4001840.9%
 
10001480.7%
 
9001420.7%
 
3001420.7%
 
2001050.5%
 
Other values (293)676131.3%
 
ValueCountFrequency (%) 
01328061.5%
 
102< 0.1%
 
201< 0.1%
 
404< 0.1%
 
50110.1%
 
ValueCountFrequency (%) 
48201< 0.1%
 
41301< 0.1%
 
35001< 0.1%
 
34801< 0.1%
 
32601< 0.1%
 

yr_built
Real number (ℝ≥0)

Distinct count116
Unique (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1970.9996758809093
Minimum1900
Maximum2015
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T07:48:13.735622image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum1900
5-th percentile1915
Q11951
median1975
Q31997
95-th percentile2011
Maximum2015
Range115
Interquartile range (IQR)46

Descriptive statistics

Standard deviation29.37523413
Coefficient of variation (CV)0.01490372347
Kurtosis-0.6576944258
Mean1970.999676
Median Absolute Deviation (MAD)23
Skewness-0.4694499765
Sum42567680
Variance862.9043803
2020-08-06T07:48:13.849318image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
20145592.6%
 
20064532.1%
 
20054502.1%
 
20044332.0%
 
20034201.9%
 
20074171.9%
 
19774171.9%
 
19783871.8%
 
19683811.8%
 
20083671.7%
 
Other values (106)1731380.2%
 
ValueCountFrequency (%) 
1900870.4%
 
1901290.1%
 
1902270.1%
 
1903460.2%
 
1904450.2%
 
ValueCountFrequency (%) 
2015380.2%
 
20145592.6%
 
20132010.9%
 
20121700.8%
 
20111300.6%
 

yr_renovated
Real number (ℝ≥0)

ZEROS

Distinct count70
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.75820715840163
Minimum0.0
Maximum2015.0
Zeros20853
Zeros (%)96.6%
Memory size168.7 KiB
2020-08-06T07:48:13.960021image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2015
Range2015
Interquartile range (IQR)0

Descriptive statistics

Standard deviation364.0374991
Coefficient of variation (CV)5.29445886
Kurtosis24.07689966
Mean68.75820716
Median Absolute Deviation (MAD)0
Skewness5.10615335
Sum1484971
Variance132523.3008
2020-08-06T07:48:14.048819image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02085396.6%
 
2014730.3%
 
2003310.1%
 
2013310.1%
 
2007300.1%
 
2000290.1%
 
2005290.1%
 
1990220.1%
 
2004220.1%
 
2009210.1%
 
Other values (60)4562.1%
 
ValueCountFrequency (%) 
02085396.6%
 
19341< 0.1%
 
19402< 0.1%
 
19441< 0.1%
 
19453< 0.1%
 
ValueCountFrequency (%) 
2015140.1%
 
2014730.3%
 
2013310.1%
 
20128< 0.1%
 
20119< 0.1%
 

zipcode
Real number (ℝ≥0)

Distinct count70
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98077.95184516368
Minimum98001
Maximum98199
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T07:48:14.146557image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum98001
5-th percentile98004
Q198033
median98065
Q398118
95-th percentile98177
Maximum98199
Range198
Interquartile range (IQR)85

Descriptive statistics

Standard deviation53.51307235
Coefficient of variation (CV)0.0005456177596
Kurtosis-0.8540048606
Mean98077.95185
Median Absolute Deviation (MAD)42
Skewness0.4053221913
Sum2118189526
Variance2863.648913
2020-08-06T07:48:14.238310image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
981036022.8%
 
980385892.7%
 
981155832.7%
 
980525742.7%
 
981175532.6%
 
980425472.5%
 
980345452.5%
 
981185072.3%
 
980234992.3%
 
980064982.3%
 
Other values (60)1610074.5%
 
ValueCountFrequency (%) 
980013611.7%
 
980021990.9%
 
980032801.3%
 
980043171.5%
 
980051680.8%
 
ValueCountFrequency (%) 
981993171.5%
 
981982801.3%
 
981881360.6%
 
981782621.2%
 
981772551.2%
 

lat
Real number (ℝ≥0)

Distinct count5033
Unique (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.56009299439737
Minimum47.1559
Maximum47.7776
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T07:48:14.336026image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum47.1559
5-th percentile47.3103
Q147.4711
median47.5718
Q347.678
95-th percentile47.7497
Maximum47.7776
Range0.6217
Interquartile range (IQR)0.2069

Descriptive statistics

Standard deviation0.1385517682
Coefficient of variation (CV)0.002913193803
Kurtosis-0.6757902106
Mean47.56009299
Median Absolute Deviation (MAD)0.1049
Skewness-0.48552159
Sum1027155.328
Variance0.01919659246
2020-08-06T07:48:14.436776image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
47.6846170.1%
 
47.5322170.1%
 
47.6624170.1%
 
47.5491170.1%
 
47.6886160.1%
 
47.6711160.1%
 
47.6955160.1%
 
47.6842150.1%
 
47.686150.1%
 
47.6647150.1%
 
Other values (5023)2143699.3%
 
ValueCountFrequency (%) 
47.15591< 0.1%
 
47.15931< 0.1%
 
47.16221< 0.1%
 
47.16471< 0.1%
 
47.17641< 0.1%
 
ValueCountFrequency (%) 
47.77763< 0.1%
 
47.77753< 0.1%
 
47.77741< 0.1%
 
47.77723< 0.1%
 
47.77712< 0.1%
 

long
Real number (ℝ)

Distinct count751
Unique (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-122.2139824975691
Minimum-122.519
Maximum-121.315
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T07:48:14.536531image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum-122.519
5-th percentile-122.387
Q1-122.328
median-122.231
Q3-122.125
95-th percentile-121.9798
Maximum-121.315
Range1.204
Interquartile range (IQR)0.203

Descriptive statistics

Standard deviation0.1407235288
Coefficient of variation (CV)-0.001151451953
Kurtosis1.052120317
Mean-122.2139825
Median Absolute Deviation (MAD)0.101
Skewness0.8848883395
Sum-2639455.38
Variance0.01980311157
2020-08-06T07:48:14.620291image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-122.291150.5%
 
-122.31110.5%
 
-122.3621040.5%
 
-122.2911000.5%
 
-122.372990.5%
 
-122.363990.5%
 
-122.288980.5%
 
-122.357960.4%
 
-122.284950.4%
 
-122.365940.4%
 
Other values (741)2058695.3%
 
ValueCountFrequency (%) 
-122.5191< 0.1%
 
-122.5151< 0.1%
 
-122.5141< 0.1%
 
-122.5121< 0.1%
 
-122.5112< 0.1%
 
ValueCountFrequency (%) 
-121.3152< 0.1%
 
-121.3161< 0.1%
 
-121.3191< 0.1%
 
-121.3211< 0.1%
 
-121.3251< 0.1%
 

sqft_living15
Real number (ℝ≥0)

Distinct count777
Unique (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1986.6203176367087
Minimum399
Maximum6210
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T07:48:14.708023image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum399
5-th percentile1140
Q11490
median1840
Q32360
95-th percentile3300
Maximum6210
Range5811
Interquartile range (IQR)870

Descriptive statistics

Standard deviation685.2304719
Coefficient of variation (CV)0.3449227141
Kurtosis1.591732789
Mean1986.620318
Median Absolute Deviation (MAD)410
Skewness1.106875397
Sum42905039
Variance469540.7996
2020-08-06T07:48:14.791832image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
15401970.9%
 
14401950.9%
 
15601920.9%
 
15001800.8%
 
14601690.8%
 
15801670.8%
 
16101660.8%
 
18001660.8%
 
17201660.8%
 
16201640.8%
 
Other values (767)1983591.8%
 
ValueCountFrequency (%) 
3991< 0.1%
 
4602< 0.1%
 
6202< 0.1%
 
6701< 0.1%
 
6902< 0.1%
 
ValueCountFrequency (%) 
62101< 0.1%
 
61101< 0.1%
 
57906< 0.1%
 
56101< 0.1%
 
56001< 0.1%
 

sqft_lot15
Real number (ℝ≥0)

Distinct count8682
Unique (%)40.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12758.283511598833
Minimum651
Maximum871200
Zeros0
Zeros (%)0.0%
Memory size168.7 KiB
2020-08-06T07:48:14.892568image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/

Quantile statistics

Minimum651
5-th percentile2002.4
Q15100
median7620
Q310083
95-th percentile37045.2
Maximum871200
Range870549
Interquartile range (IQR)4983

Descriptive statistics

Standard deviation27274.44195
Coefficient of variation (CV)2.137783027
Kurtosis151.3956625
Mean12758.28351
Median Absolute Deviation (MAD)2505
Skewness9.524361965
Sum275540649
Variance743895183.7
2020-08-06T07:48:14.993262image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
50004272.0%
 
40003561.6%
 
60002881.3%
 
72002101.0%
 
48001450.7%
 
75001420.7%
 
84001160.5%
 
45001110.5%
 
36001110.5%
 
51001090.5%
 
Other values (8672)1958290.7%
 
ValueCountFrequency (%) 
6511< 0.1%
 
6591< 0.1%
 
6601< 0.1%
 
7482< 0.1%
 
7504< 0.1%
 
ValueCountFrequency (%) 
8712001< 0.1%
 
8581321< 0.1%
 
5606171< 0.1%
 
4382131< 0.1%
 
4347281< 0.1%
 

Interactions

2020-08-06T07:47:23.848594image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:23.950356image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:24.044105image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:24.141838image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:24.229609image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:24.325353image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:24.427072image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:24.536755image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:24.638516image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:24.748191image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:24.856950image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:24.945687image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:25.046393image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:25.146153image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:25.264809image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:25.373555image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:25.470290image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:25.568005image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:25.682725image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:25.782459image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:25.876207image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:25.976939image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:26.073678image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:26.174408image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:26.284085image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:26.399808image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:26.510529image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:26.613232image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:26.713964image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:26.824640image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:26.957317image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:27.062005image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:27.174705image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:27.290395image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:27.404122image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:27.521826image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:27.632514image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:27.735251image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:27.838965image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:27.942695image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:28.040418image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:28.144146image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:28.246873image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:28.356577image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:28.460295image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:28.592949image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:28.719609image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:28.837261image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:28.957938image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:29.716942image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:29.841614image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:29.958296image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:30.070994image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:30.183695image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:30.303342image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:30.427042image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:30.552675image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:30.666409image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:30.785065image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:30.904736image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:31.016437image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:31.119194image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:31.223921image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:31.328633image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:31.415405image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:31.514140image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:31.623841image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:31.721587image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:31.812351image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:31.929030image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:32.039732image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:32.144422image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:32.250172image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:32.350900image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:32.449606image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:32.549372image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:32.659084image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:32.767756image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:32.874508image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:32.973244image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:33.065958image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:33.173703image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:33.282413image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:33.394114image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:33.496821image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:33.608532image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:33.719250image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:33.835934image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:33.939656image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:34.049362image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:34.161063image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:34.259802image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:34.488184image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:34.598896image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:34.709603image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:34.823300image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:34.938291image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:35.035149image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:35.144530image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:35.253879image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:35.347610image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:35.456956image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:35.551828image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:35.676838image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:35.788181image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:35.907861image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:36.012578image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
2020-08-06T07:47:36.122289image/svg+xmlMatplotlib v3.3.0, https://matplotlib.org/
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Correlations

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Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
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Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
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Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
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Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

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Sample

First rows

Unnamed: 0iddatepricebedroomsbathroomssqft_livingsqft_lotfloorswaterfrontviewconditiongradesqft_abovesqft_basementyr_builtyr_renovatedzipcodelatlongsqft_living15sqft_lot15
0071293005202014-10-13221,900.031.0118056501.00.00.03711800.019550.09817847.5112-122.25713405650
1164141001922014-12-09538,000.032.25257072422.00.00.0372170400.019511,991.09812547.721-122.31916907639
2256315004002015-02-25180,000.021.0770100001.00.00.0367700.019330.09802847.7379-122.23327208062
3324872008752014-12-09604,000.043.0196050001.00.00.0571050910.019650.09813647.5208-122.39313605000
4419544005102015-02-18510,000.032.0168080801.00.00.03816800.019870.09807447.6168-122.04518007503
5572375503102014-05-121,230,000.044.554201019301.00.00.031138901,530.020010.09805347.6561-122.0054760101930
6613214000602014-06-27257,500.032.25171568192.00.00.03717150.019950.09800347.3097-122.32722386819
7720080002702015-01-15291,850.031.5106097111.00.00.03710600.019630.09819847.4095-122.31516509711
8824146001262015-04-15229,500.031.0178074701.00.00.0371050730.019600.09814647.5123-122.33717808113
9937935001602015-03-12323,000.032.5189065602.00.00.03718900.020030.09803847.3684-122.03123907570

Last rows

Unnamed: 0iddatepricebedroomsbathroomssqft_livingsqft_lotfloorswaterfrontviewconditiongradesqft_abovesqft_basementyr_builtyr_renovatedzipcodelatlongsqft_living15sqft_lot15
215872158778521400402014-08-25507,250.032.5227055362.00.00.03822700.020030.09806547.5389-121.88122705731
215882158898342013672015-01-26429,000.032.0149011263.00.00.03814900.020140.09814447.5699-122.28814001230
215892158934489002102014-10-14610,685.042.5252060232.00.00.03925200.020140.09805647.5137-122.16725206023
215902159079360004292015-03-261,010,000.043.5351072002.00.00.0392600910.020090.09813647.5537-122.39820506200
215912159129978000212015-02-19475,000.032.5131012942.00.00.0381180130.020080.09811647.5773-122.40913301265
21592215922630000182014-05-21360,000.032.5153011313.00.00.03815300.020090.09810347.6993-122.34615301509
215932159366000601202015-02-23400,000.042.5231058132.00.00.03823100.020140.09814647.5107-122.36218307200
215942159415233001412014-06-23402,101.020.75102013502.00.00.03710200.020090.09814447.5944-122.29910202007
21595215952913101002015-01-16400,000.032.5160023882.00.00.03816000.020040.09802747.5345-122.06914101287
215962159615233001572014-10-15325,000.020.75102010762.00.00.03710200.020080.09814447.5941-122.29910201357